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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2073 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 2.4189. Min Act: -0.0000

Data Index: 1030720 (C4 (Web Text))

Max Activating Token Index: 130

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Text #1

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Data Index: 1388504 (Python Code)

Max Activating Token Index: 45

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Text #2

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Max Act: 2.3032. Min Act: -0.0001

Data Index: 1254636 (C4 (Web Text))

Max Activating Token Index: 705

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Text #3

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Max Act: 2.2437. Min Act: -0.0000

Data Index: 272898 (C4 (Web Text))

Max Activating Token Index: 195

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Text #4

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Max Act: 2.4214. Min Act: -0.0000

Data Index: 457249 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #5

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Data Index: 1258895 (C4 (Web Text))

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Text #6

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Data Index: 904292 (C4 (Web Text))

Max Activating Token Index: 20

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Text #7

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Data Index: 1216690 (C4 (Web Text))

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Text #8

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Data Index: 235799 (C4 (Web Text))

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Text #9

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Data Index: 19184 (C4 (Web Text))

Max Activating Token Index: 984

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Text #10

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Data Index: 1547000 (Python Code)

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Text #11

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Text #12

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Data Index: 1353175 (C4 (Web Text))

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Text #13

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Data Index: 103097 (C4 (Web Text))

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Text #14

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Data Index: 155823 (C4 (Web Text))

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Text #15

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Data Index: 1110087 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 956158 (C4 (Web Text))

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Text #18

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Data Index: 485502 (C4 (Web Text))

Max Activating Token Index: 533

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Text #19

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Data Index: 190022 (C4 (Web Text))

Max Activating Token Index: 34

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